研究生: |
洪國恩 Guo-En Hong |
---|---|
論文名稱: |
結合修正式DEMATEL與改良式餘弦相似度及專利類別歸屬之機率方法進行LED自行車車燈相關專利分析研究 A study of patent analysis of LED bicycle light by combining modified DEMATEL with improved cosine similarity and probability method of patent categorization |
指導教授: |
林榮慶
Zone-Ching Lin |
口試委員: |
許覺良
Chaug-liang Hsu 王國雄 Kuo-shong Wang 成維華 Wei-hua Chieng |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 機械工程系 Department of Mechanical Engineering |
論文出版年: | 2015 |
畢業學年度: | 103 |
語文別: | 中文 |
論文頁數: | 198 |
中文關鍵詞: | LED閱讀燈 、sLED自行車車燈 、sDEMATEL 、slife span 、餘弦相似度 、機率 、專利分析 |
外文關鍵詞: | LED reading lamp, LED bicycle light, DEMATEL, life span, cosine similarity, probability, patent analysis |
相關次數: | 點閱:359 下載:4 |
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本研究首先提出修正式DEMATEL經由常態化數值的概念來評估技術領域間0~4的相互影響程度,用以取代傳統的專家問卷方式。本研究先以LED閱讀燈為例,初步分類為七個重要技術領域,透過每個技術領域所具有的相關技術字以及常態化值,先計算技術領域間重複或定義相同的技術字常態化值,再計算技術領域間常態化值佔有之比例,並依照所計算出的比例值,來評估決定技術領域間的相互影響程度0~4之值。接著再依照DEMATEL運算步驟求出總關係影響矩陣、直接/間接關係圖及(D+R)值與(D-R)值之因果圖。此(D+R)值與(D-R)值之因果圖可協助判斷技術領域間的相互受影響程度以及哪些技術領域屬於較為核心技術領域的判定。
本研究首先以現有LED閱讀燈3篇相關專利測試,將DEMATEL繪製出的不同技術領域的因果圖,並計算各技術領域的機率值,進而判斷新投入專利是否具有一個以上的技術領域。然後再以LED自行車車燈為研究之載具,並建立各第一層及第二層技術類別及功能類別之技術字字群及功能字字群。本文經由專利語意分析之斷詞斷字系統半自動半人工分析所獲得之各關鍵技術字、零組件元件字及功能字之常態化數值做為該詞彙之權重,以結合改良式餘弦相似度概念之創新專利搜尋方法搜尋相關專利,及以改良式餘弦相似度結合專利類別歸屬之機率方法進行專利歸屬之計算。本文並進行3篇LED自行車車燈之新投入專利之專利歸屬判別,計算專利歸屬之機率值(Pj值),若是新投入專利之技術領域的機率值沒有太大差異,且技術領域之因果關係為相關,在人工判定時特別注意,最後判定新投入專利是否具有一個以上的技術領域。
本文LED自行車車燈亦進行專利之國際專利分類(IPC)分析及以技術領域為主之專利分析。另亦增加專利生命跨距(Life Span)的分析,其以專利公告日為依據,統計並製作出專利生命跨距(Life Span)。經由專利生命跨距(Life Span)分析,可看出跨距長的技術領域的技術領域相關專利可能已發展成熟,跨距短的技術領域之專利表示該技術領域之相關專利有較大的發展空間,有投資研發的潛力。
The study proposes a modified DEMATEL that evaluates the mutual influence among 0~4 scales by using the concept of normalized numerical value to replace the conventional collecting experts’ opinions through questionnaires. First of all, the study takes LED reading lamp for example, and preliminarily classifies its techniques into 7 most important technical categories. Through the related technical words that each technical category has and their normalized numerical values, the study firstly calculates the normalized numerical values of repeated technical words among the technical fields or those having the same definitions. Then the study calculates the ratios of the normalized values among the technical categories. Based on the ratios calculated, the study assesses the determined mutual influence scales 0~4 among the technical categories. After that, following the calculation procedures of DEMATEL, the study finds out the general relational influence matrix, direct/indirect relationship diagram, and the cause and effect diagram between (D+R) value and (D-R) value. The cause and effect diagram between (D+R) value and (D-R) value can help judge the degree of mutual influence among the technical categories, and judge which technical categories belong to more core technical categories.
First of all, the study uses 3 patents of LED reading lamp as the new added testing patents to draw a cause and effect diagram of different technical categories by DEMATEL. Finally, the study calculates the probability value of each technical category and judges whether the newly added patent has more than one technical category. Then, taking LED bicycle light as the carrier, the study produces the 1st layer and 2nd layer technical/functional matrices, and establishes the technical word cluster and functional word cluster for each of the 1st layer and 2nd layer technical categories and functional categories. The normalized numerical values of the various key technical words, part/component words and functional words, which are obtained from semi-automatic and semi-manual analysis of term and word segmentation system of patent semantic analysis, are taken as the weights of the vocabularies. The study combines with the innovative patent search method of improved cosine similarity concept to search the related patents, and calculates the category of patent by combining improved cosine similarity with probability method of patent categorization. The paper judges the category of the newly added patent for 3 patents of LED bicycle light, and calculates the probability value (Pj value) of patent categorization. If there is not a great difference in the probability values for the technical categories of the newly added patent, and the cause and effect relationship between technical categories is correlated, then special attention has to be paid during manual judgment. Finally, it is judged whether the newly added patent has more than one technical category.
The study’s LED bicycle light also adopts IPC (International Patent Classification) analysis of patent, and makes patent analysis that mainly focuses on technical category. Besides, the study adds an analysis on life span of patent. With the announcing date of patent as the basis, the study makes statistics and estimates the life span of patent. As seen from the analysis on life span of patent, the technical category-related patent with technical category having a long life span may have been developed maturely. As to technical category having a short life span, such technical category-related patent has broader development and greater potential for R&D investment.
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